Mid-level Data Platform Engineer

As a Mid-level Data Platform Engineer , you will

work alongside Software Engineers, Machine Learning Engineers and Data Engineers to understand their technical needs

and help translate them into reliable, scalable data platform solutions. You will contribute to building,

maintaining and improving Enterprise Data Platform components - including custom data and platform products that

enhance reliability and accessibility - with guidance from senior team members where needed.

Job

responsibilities:

Contributing to the design, deployment and maintenance of on-premises, hybrid and

cloud data infrastructure.

Building and improving custom data and

platform products that increase reliability, accessibility and ease of use for internal teams.

Implementing and supporting monitoring, alerting and automation solutions to ensure platform

reliability and performance.

Assisting with performance tuning and

optimization of data platform components and storage engines.

Applying

data security best practices including AAA, encryption and secrets management to protect sensitive

information.

Communicating with internal customers (Software Engineers,

Machine Learning Engineers and Data Engineers) to gather feedback and support their day-to-day

needs.

Supporting platform upgrade and migration activities in line with

the development roadmap.

Job

requirements:

Preferably 2–4 years of experience in similar roles (DevOps, DataOps or DBA),

including hands-on experience building custom data and platform products for reliability and

accessibility.

Familiarity with Data Lakehouse on-premises, hybrid and/or

cloud infrastructure.

Experience with Linux administration and core

DevOps tools including Kubernetes (K8s), CI/CD pipelines, GIT, Prometheus, Grafana and Vault for secrets

management.

Experience with distributed storage administration including

Ceph and object stores such as Minio (S3 compatible) and Apache Iceberg.

Experience with CloudNativePG (CNPG) and one or more database technologies such as PostgreSQL,

Elasticsearch, Redis, MongoDB, Neo4j or etcd.

Familiarity with data

platform tools such as Trino, Apache Spark, Apache Airflow, Apache Kafka or Apache NiFi.

Nice to have experience with Terraform and/or Ansible.

We offer:

5 work days from 8:00 – 17:00 or 9:00 – 18:00;

Meal allowance;

Annual performance

bonuses;

Corporate health program: voluntary insurance and special

discounts for gyms;

Access to Digital Learning

Platforms.

Note: Only candidates who meet

the requirements of the vacancy will be contacted for the next stage.

Interested candidates can send their CV to the

e-mail address in the Apply

for job button.